Triple
T12527065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half-Life franchise |
E299466
|
entity |
| Predicate | hasAntagonist |
P18963
|
FINISHED |
| Object | G-Man |
E784494
|
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: G-Man | Statement: [Half-Life franchise, hasAntagonist, G-Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Man Context triple: [Half-Life franchise, hasAntagonist, G-Man]
-
A.
G-Man
chosen
G-Man is a character in Bruce Springsteen’s song “Spirit in the Night,” portrayed as one of the wild, free-spirited friends joining the narrator on a night of adventure.
-
B.
Agent 47
Agent 47 is a genetically engineered, barcoded assassin and the silent, methodical protagonist of the Hitman video game franchise.
-
C.
Amos Fisk
Amos Fisk is a person notable enough to be recognized as a bearer of the surname Fisk.
-
D.
Max Payne
Max Payne is a neo-noir third-person shooter video game series known for its gritty storytelling, bullet-time gunplay, and hard-boiled titular protagonist.
-
E.
Agent 326
Agent 326 is a fictional spy character known for undertaking covert missions and espionage activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.