Triple
T27782534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Valley Clock Tower |
E699370
|
entity |
| Predicate | hasInUniverseLightningStrikeTime |
P193649
|
FINISHED |
| Object | 10:04 p.m. |
—
|
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: 10:04 p.m. | Statement: [Hill Valley Clock Tower, hasInUniverseLightningStrikeTime, 10:04 p.m.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInUniverseLightningStrikeTime Context triple: [Hill Valley Clock Tower, hasInUniverseLightningStrikeTime, 10:04 p.m.]
-
A.
hasInUniverseLightningStrikeDate
Indicates the date on which a lightning strike event occurs within the context of a specific fictional or defined universe.
-
B.
hasLightningLane
Indicates that an attraction, experience, or location offers access via a Lightning Lane queue or reservation system.
-
C.
hasInUniverseSignificance
Indicates that something holds notable importance, relevance, or impact within a particular fictional or conceptual universe.
-
D.
hasInUniverseReputation
Indicates that an entity holds a particular level or type of reputation within a specified fictional or conceptual universe.
-
E.
hasAgeInMainTimeline
Indicates that an entity has a specific age value within the primary or canonical timeline of a narrative or system.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 27, 2026, 5:11 p.m.