Triple
T13609761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Green |
E325157
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Emma Geller-Green
Emma Geller-Green is the daughter of Rachel Green and Ross Geller on the television series "Friends."
|
E1050623
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Emma Geller-Green | Statement: [Rachel Green, hasChild, Emma Geller-Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Geller-Green Context triple: [Rachel Green, hasChild, Emma Geller-Green]
-
A.
Mona Greenberg
Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
-
B.
Emma Rauschenbach
Emma Rauschenbach, better known as Emma Jung, was a Swiss psychoanalyst and author who significantly contributed to analytical psychology alongside her husband Carl Gustav Jung.
-
C.
Elyse Goldstein
Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
-
D.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
E.
Lizzie Gottlieb
Lizzie Gottlieb is an American documentary filmmaker best known for her intimate, character-driven films exploring artists, writers, and the creative process.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emma Geller-Green Triple: [Rachel Green, hasChild, Emma Geller-Green]
Generated description
Emma Geller-Green is the daughter of Rachel Green and Ross Geller on the television series "Friends."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Geller-Green Target entity description: Emma Geller-Green is the daughter of Rachel Green and Ross Geller on the television series "Friends."
-
A.
Mona Greenberg
Mona Greenberg was the longtime wife of acclaimed American actor Karl Malden.
-
B.
Emma Rauschenbach
Emma Rauschenbach, better known as Emma Jung, was a Swiss psychoanalyst and author who significantly contributed to analytical psychology alongside her husband Carl Gustav Jung.
-
C.
Elyse Goldstein
Elyse Goldstein is a Canadian Reform rabbi, feminist, and educator known for her leadership in Jewish learning and advocacy for gender equality in Judaism.
-
D.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
E.
Lizzie Gottlieb
Lizzie Gottlieb is an American documentary filmmaker best known for her intimate, character-driven films exploring artists, writers, and the creative process.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78125632881908d601ee4c4aaae35 |
completed | May 3, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f781e32cb48190abc83e65405ac8ac |
completed | May 3, 2026, 5:12 p.m. |
Created at: April 9, 2026, 9:50 p.m.