Triple
T29195338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halo 3 |
E740108
|
entity |
| Predicate | replaySystem |
P183115
|
FINISHED |
| Object | Theater |
—
|
LITERAL 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: Theater | Statement: [Halo 3, replaySystem, Theater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replaySystem Context triple: [Halo 3, replaySystem, Theater]
-
A.
replayResult
Indicates that an outcome or state is produced as a consequence of replaying a prior event, action, or sequence.
-
B.
replayedOn
Indicates that an event, performance, or recording was played again on a particular medium, platform, or channel.
-
C.
replayFrequency
Indicates how often an event, action, or sequence is repeated or played back over a given period.
-
D.
hasReplay
Indicates that an event, action, or interaction is available to be viewed or experienced again in a recorded or reconstructed form.
-
E.
replayCity
Indicates that an event, scenario, or sequence is being replayed or re-enacted within the context of a specific city.
- F. None of above. chosen
Provenance (4 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 28, 2026, 12:04 p.m.