Triple
T7447896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Gest |
E171929
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gest
Gest is a surname most notably associated with American television producer and reality TV personality David Gest.
|
E665037
|
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: Gest | Statement: [David Gest, familyName, Gest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gest Context triple: [David Gest, familyName, Gest]
-
A.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
-
B.
Gust
Gust is the given name of Gust Avrakotos, a notable CIA officer known for his role in covert operations during the Cold War.
-
C.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
-
D.
gon
gon is the ISO 639-3 code for the Gondi language, a Dravidian language spoken by the Gond people in central India.
-
E.
Gein
Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
- 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: Gest Triple: [David Gest, familyName, Gest]
Generated description
Gest is a surname most notably associated with American television producer and reality TV personality David Gest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gest Target entity description: Gest is a surname most notably associated with American television producer and reality TV personality David Gest.
-
A.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
-
B.
Gust
Gust is the given name of Gust Avrakotos, a notable CIA officer known for his role in covert operations during the Cold War.
-
C.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
-
D.
gon
gon is the ISO 639-3 code for the Gondi language, a Dravidian language spoken by the Gond people in central India.
-
E.
Gein
Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38808fc8190b27a2b455155cb5b |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827abf3288190b146522af7fcfaa1 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.