Triple
T3875260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Bacall |
E92485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Perske
Perske is the birth surname of American actress and cultural icon Lauren Bacall.
|
E394651
|
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: Perske | Statement: [Lauren Bacall, familyName, Perske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perske Context triple: [Lauren Bacall, familyName, Perske]
-
A.
Piershil
Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
B.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Panke
Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
-
E.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
- 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: Perske Triple: [Lauren Bacall, familyName, Perske]
Generated description
Perske is the birth surname of American actress and cultural icon Lauren Bacall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perske Target entity description: Perske is the birth surname of American actress and cultural icon Lauren Bacall.
-
A.
Piershil
Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
B.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Panke
Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
-
E.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec706434819095e0d2b376adb548 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124f095881909143b624128ff569 |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b512f4041081908eb32ae059681afa |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5137200a08190bd2a78398e03803e |
completed | March 14, 2026, 7:51 a.m. |
Created at: March 9, 2026, 3:20 p.m.