Triple
T2995612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horse Girl |
E81057
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mel Eslyn
Mel Eslyn is an American film and television producer known for her frequent collaborations with the Duplass Brothers and work on acclaimed indie projects.
|
E315752
|
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: Mel Eslyn | Statement: [Horse Girl, producer, Mel Eslyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Eslyn Context triple: [Horse Girl, producer, Mel Eslyn]
-
A.
Mika Guillory
Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
-
B.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
-
C.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
D.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
E.
Evelyn Baran
Evelyn Baran is best known as the wife of pioneering engineer Paul Baran, a key figure in the development of packet-switched networks and the internet.
- 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: Mel Eslyn Triple: [Horse Girl, producer, Mel Eslyn]
Generated description
Mel Eslyn is an American film and television producer known for her frequent collaborations with the Duplass Brothers and work on acclaimed indie projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mel Eslyn Target entity description: Mel Eslyn is an American film and television producer known for her frequent collaborations with the Duplass Brothers and work on acclaimed indie projects.
-
A.
Mika Guillory
Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
-
B.
Maxene Reynolds
Maxene Reynolds is the daughter of legendary American actress and singer Debbie Reynolds.
-
C.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
D.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
E.
Evelyn Baran
Evelyn Baran is best known as the wife of pioneering engineer Paul Baran, a key figure in the development of packet-switched networks and the internet.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10908cfe48190bf244d5a3dbc958b |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10ab5e3488190b2d8c98dd296cbe5 |
completed | March 11, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10b1664f081909b521ee8dd5954f9 |
completed | March 11, 2026, 6:26 a.m. |
Created at: March 8, 2026, 2:59 p.m.