Triple
T28717190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ares III crew |
E729990
|
entity |
| Predicate | portrayedInFilmBy |
P9616
|
FINISHED |
| Object |
Michael Peña as Rick Martinez
Michael Peña as Rick Martinez is the charismatic and quick-witted Ares III pilot in the film adaptation of "The Martian," providing both comic relief and steadfast loyalty to his stranded crewmate.
|
E1830589
|
NE FINISHED |
How this triple was built (2 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: Michael Peña as Rick Martinez | Statement: [Ares III crew, portrayedInFilmBy, Michael Peña as Rick Martinez]
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: Michael Peña as Rick Martinez Triple: [Ares III crew, portrayedInFilmBy, Michael Peña as Rick Martinez]
Generated description
Michael Peña as Rick Martinez is the charismatic and quick-witted Ares III pilot in the film adaptation of "The Martian," providing both comic relief and steadfast loyalty to his stranded crewmate.
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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1ccf589ba0819099bb5f52d15c2f60 |
completed | June 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_6a1cd021944881908cae19ba344f1184 |
completed | June 1, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a249466d5b08190bd3886ef517cb367 |
completed | June 6, 2026, 9:43 p.m. |
Created at: April 28, 2026, 5:51 a.m.