Triple
T22840553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieces of Her |
E566066
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Casey Haver
Casey Haver is a television producer best known for executive producing the thriller drama series "Pieces of Her."
|
E1557689
|
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: Casey Haver | Statement: [Pieces of Her, executiveProducer, Casey Haver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Haver Context triple: [Pieces of Her, executiveProducer, Casey Haver]
-
A.
Casey Wescott
Casey Wescott is an American musician best known as the keyboardist and multi-instrumentalist for the indie folk band Fleet Foxes.
-
B.
Casey Deitz
Casey Deitz is a musician best known as a member of the indie rock band Rogue Wave.
-
C.
Casey Davenport
Casey Davenport is a character from the animated series "Wings," likely serving as one of the show's central or recurring figures.
-
D.
Casey Bourdelle
Casey Bourdelle is a fictional young boy who forms a deep bond with a promising racehorse in the 1978 horse-racing drama film "Casey’s Shadow."
-
E.
Gia Casey
Gia Casey is an American author, podcast host, and media personality best known for her relationship and joint projects with her husband, DJ Envy.
- 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: Casey Haver Triple: [Pieces of Her, executiveProducer, Casey Haver]
Generated description
Casey Haver is a television producer best known for executive producing the thriller drama series "Pieces of Her."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casey Haver Target entity description: Casey Haver is a television producer best known for executive producing the thriller drama series "Pieces of Her."
-
A.
Casey Wescott
Casey Wescott is an American musician best known as the keyboardist and multi-instrumentalist for the indie folk band Fleet Foxes.
-
B.
Casey Deitz
Casey Deitz is a musician best known as a member of the indie rock band Rogue Wave.
-
C.
Casey Davenport
Casey Davenport is a character from the animated series "Wings," likely serving as one of the show's central or recurring figures.
-
D.
Casey Bourdelle
Casey Bourdelle is a fictional young boy who forms a deep bond with a promising racehorse in the 1978 horse-racing drama film "Casey’s Shadow."
-
E.
Gia Casey
Gia Casey is an American author, podcast host, and media personality best known for her relationship and joint projects with her husband, DJ Envy.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b565388190bb70602834ae5622 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8666f608190b512aa4c8442f6c1 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baa4decf881909774facad2cae93d |
completed | May 19, 2026, 12:09 a.m. |
Created at: April 17, 2026, 3:35 p.m.