Triple
T3924096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Angels Take Manhattan |
E93230
|
entity |
| Predicate | timeTravelElement |
P51702
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Angels Take Manhattan, timeTravelElement, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeTravelElement Context triple: [The Angels Take Manhattan, timeTravelElement, yes]
-
A.
timeTravelTo
Indicates traveling from one point in time to another, typically different, point in time.
-
B.
timeTravelMethod
Indicates the specific mechanism or technique by which an entity performs or experiences time travel.
-
C.
timeTravelFrom
Indicates a relationship where an entity initiates time travel starting from a specific time or temporal location.
-
D.
timeExistence
Indicates the period or duration during which an entity exists or is valid.
-
E.
timeShiftService
Indicates that a service is provided with a shifted or delayed time relative to its original or real-time schedule.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7dacdc8190854ebc13db2d24bc |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.