Triple
T10956344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag |
E258855
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Company Man
"Company Man" is a song by the American progressive metal band Flag.
|
E894565
|
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: Company Man | Statement: [Flag, hasTrack, Company Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Company Man Context triple: [Flag, hasTrack, Company Man]
-
A.
The Man from Hollywood
The Man from Hollywood is a comedic segment in the anthology film Four Rooms, directed by Quentin Tarantino and featuring him as a charismatic high-stakes gambler in a tense, darkly humorous bet.
-
B.
Klute
Klute is a 1971 neo-noir thriller film directed by Alan J. Pakula, best known for Jane Fonda’s Oscar-winning performance as a call girl involved in a missing-person investigation.
-
C.
A Better Man
A Better Man is a country song by American singer-songwriter Clint Black that became one of his early breakthrough hits.
-
D.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
-
E.
The Man
The Man is a poem by Russian Futurist poet Vladimir Mayakovsky that explores themes of individuality, alienation, and modern urban life in his characteristically bold, experimental style.
- 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: Company Man Triple: [Flag, hasTrack, Company Man]
Generated description
"Company Man" is a song by the American progressive metal band Flag.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Company Man Target entity description: "Company Man" is a song by the American progressive metal band Flag.
-
A.
The Man from Hollywood
The Man from Hollywood is a comedic segment in the anthology film Four Rooms, directed by Quentin Tarantino and featuring him as a charismatic high-stakes gambler in a tense, darkly humorous bet.
-
B.
Klute
Klute is a 1971 neo-noir thriller film directed by Alan J. Pakula, best known for Jane Fonda’s Oscar-winning performance as a call girl involved in a missing-person investigation.
-
C.
A Better Man
A Better Man is a country song by American singer-songwriter Clint Black that became one of his early breakthrough hits.
-
D.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
-
E.
The Man
The Man is a poem by Russian Futurist poet Vladimir Mayakovsky that explores themes of individuality, alienation, and modern urban life in his characteristically bold, experimental style.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69e2454473f48190bfd44d0d0f48bc60 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e245f3c9988190a74ddd330621f7e1 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:23 p.m.