Triple
T19914429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hung |
E478626
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Damon Drecker
Damon Drecker is a fictional character from the television series "Hung."
|
E1401147
|
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: Damon Drecker | Statement: [Hung, character, Damon Drecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damon Drecker Context triple: [Hung, character, Damon Drecker]
-
A.
Nathan Darrow
Nathan Darrow is an American actor best known for his roles in the television series "House of Cards" and "Gotham."
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Dara Kravitz
Dara Kravitz is an American producer and podcast host best known as the widow of comedian Gilbert Gottfried and for co-hosting the "Gilbert Gottfried's Amazing Colossal Podcast!"
-
D.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
E.
Andy Mason
Andy Mason is the charming male lead character in the 1943 Technicolor musical film "The Gang's All Here," known for his romantic entanglements amid lavish Busby Berkeley production numbers.
- 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: Damon Drecker Triple: [Hung, character, Damon Drecker]
Generated description
Damon Drecker is a fictional character from the television series "Hung."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damon Drecker Target entity description: Damon Drecker is a fictional character from the television series "Hung."
-
A.
Nathan Darrow
Nathan Darrow is an American actor best known for his roles in the television series "House of Cards" and "Gotham."
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Dara Kravitz
Dara Kravitz is an American producer and podcast host best known as the widow of comedian Gilbert Gottfried and for co-hosting the "Gilbert Gottfried's Amazing Colossal Podcast!"
-
D.
Dani Dennison
Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
-
E.
Andy Mason
Andy Mason is the charming male lead character in the 1943 Technicolor musical film "The Gang's All Here," known for his romantic entanglements amid lavish Busby Berkeley production numbers.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659928030819085a4aafc6a0ef5c8 |
completed | April 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea4fc6bc81909573e05b842ec0ab |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07eef4995c81909b45b0e84de19c34 |
completed | May 16, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ef716f68819093a9a6356080e39e |
completed | May 16, 2026, 4:15 a.m. |
Created at: April 10, 2026, 1:53 p.m.