Triple
T36718124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Tom Cotton |
E906968
|
entity |
| Predicate | livesDuringFictionalTime |
P107311
|
FINISHED |
| Object | Late Third Age |
—
|
NE NERFINISHED |
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: Late Third Age | Statement: [Young Tom Cotton, livesDuringFictionalTime, Late Third Age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livesDuringFictionalTime Context triple: [Young Tom Cotton, livesDuringFictionalTime, Late Third Age]
-
A.
endsInFictionalYear
Indicates that an event, story, or timeline concludes in a year that exists only within a fictional or imagined setting.
-
B.
activeInFictionalYear
chosen
Indicates that an entity is active or operating during a specified fictional or imaginary year within a narrative or fictional timeline.
-
C.
basedOnFictionalDateIn
Indicates that something is derived from, inspired by, or determined using a fictional date occurring within a specified work, timeline, or fictional context.
-
D.
livesInFiction
Indicates that one entity exists or resides within the fictional world or narrative setting created by another entity.
-
E.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
- F. None of above.
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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c8421b248190a171972072f16828 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.