Triple
T11241639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soumaya Domit Gemayel |
E266085
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Vanessa Slim Domit
Vanessa Slim Domit is a Mexican businesswoman and philanthropist, known as a member of the prominent Slim family.
|
E913454
|
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: Vanessa Slim Domit | Statement: [Soumaya Domit Gemayel, child, Vanessa Slim Domit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Slim Domit Context triple: [Soumaya Domit Gemayel, child, Vanessa Slim Domit]
-
A.
Vanessa Vadim
Vanessa Vadim is a French-American filmmaker and environmental activist, best known as the daughter of actress Jane Fonda and director Roger Vadim.
-
B.
Vanessa Black
Vanessa Black is a chef and television personality known for her culinary work and for being married to dancer and chef Dean Sheremet.
-
C.
Vanessa Zima
Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
-
D.
Vanessa Ferlito
Vanessa Ferlito is an American actress known for her roles in films like "Death Proof" and TV series such as "CSI: NY" and "NCIS: New Orleans."
-
E.
Vanessa
Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
- 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: Vanessa Slim Domit Triple: [Soumaya Domit Gemayel, child, Vanessa Slim Domit]
Generated description
Vanessa Slim Domit is a Mexican businesswoman and philanthropist, known as a member of the prominent Slim family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Slim Domit Target entity description: Vanessa Slim Domit is a Mexican businesswoman and philanthropist, known as a member of the prominent Slim family.
-
A.
Vanessa Vadim
Vanessa Vadim is a French-American filmmaker and environmental activist, best known as the daughter of actress Jane Fonda and director Roger Vadim.
-
B.
Vanessa Black
Vanessa Black is a chef and television personality known for her culinary work and for being married to dancer and chef Dean Sheremet.
-
C.
Vanessa Zima
Vanessa Zima is an American actress known for her roles in films such as "Ulee's Gold" and "The Brain."
-
D.
Vanessa Ferlito
Vanessa Ferlito is an American actress known for her roles in films like "Death Proof" and TV series such as "CSI: NY" and "NCIS: New Orleans."
-
E.
Vanessa
Vanessa is the enigmatic, emotionally complex woman at the center of the film "By the Sea," whose inner turmoil drives the story’s exploration of marriage and personal grief.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.