Triple
T9759667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guns of Darkness |
E236636
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tom Jordan
Tom Jordan is the central protagonist of the 1962 political thriller film "Guns of Darkness," around whom the story’s tense escape and survival plot revolves.
|
E821120
|
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: Tom Jordan | Statement: [Guns of Darkness, mainCharacter, Tom Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Jordan Context triple: [Guns of Darkness, mainCharacter, Tom Jordan]
-
A.
Bob Jordan
Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
George Denbrough
George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
-
D.
Mr. Jordan
Mr. Jordan is the suave, otherworldly celestial messenger character famously played by Claude Rains in the classic film "Here Comes Mr. Jordan."
-
E.
Danny Callahan
"Danny Callahan" is a song by American singer-songwriter Conor Oberst, featured on his self-titled solo album.
- 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: Tom Jordan Triple: [Guns of Darkness, mainCharacter, Tom Jordan]
Generated description
Tom Jordan is the central protagonist of the 1962 political thriller film "Guns of Darkness," around whom the story’s tense escape and survival plot revolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Jordan Target entity description: Tom Jordan is the central protagonist of the 1962 political thriller film "Guns of Darkness," around whom the story’s tense escape and survival plot revolves.
-
A.
Bob Jordan
Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
George Denbrough
George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
-
D.
Mr. Jordan
Mr. Jordan is the suave, otherworldly celestial messenger character famously played by Claude Rains in the classic film "Here Comes Mr. Jordan."
-
E.
Danny Callahan
"Danny Callahan" is a song by American singer-songwriter Conor Oberst, featured on his self-titled solo album.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41022908190a5f55291a2323691 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4c37e248190a1b10cf6d0056c02 |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c56957f8819080eca0a71c24f86a |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:24 p.m.