Triple
T14982950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Elisabeth Goslar |
E373625
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hanneli
Hanneli is the nickname of Hannah Elisabeth Goslar, a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
|
E1130449
|
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: Hanneli | Statement: [Hannah Elisabeth Goslar, givenName, Hanneli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanneli Context triple: [Hannah Elisabeth Goslar, givenName, Hanneli]
-
A.
Marli
Marli is a given name commonly used as a feminine first name in various cultures.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
D.
Harlene
Harlene is a given name most notably borne by Harlene Rosen, the first wife of filmmaker and comedian Woody Allen.
-
E.
Ruviana
Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
- 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: Hanneli Triple: [Hannah Elisabeth Goslar, givenName, Hanneli]
Generated description
Hanneli is the nickname of Hannah Elisabeth Goslar, a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanneli Target entity description: Hanneli is the nickname of Hannah Elisabeth Goslar, a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
-
A.
Marli
Marli is a given name commonly used as a feminine first name in various cultures.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
D.
Harlene
Harlene is a given name most notably borne by Harlene Rosen, the first wife of filmmaker and comedian Woody Allen.
-
E.
Ruviana
Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe908c25c88190be07a8e12a5cd70b |
completed | May 9, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9136938081908290c0dfbf140c63 |
completed | May 9, 2026, 1:43 a.m. |
Created at: April 10, 2026, 2:52 a.m.