Triple
T15824387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff (The Ruins) |
E383698
|
entity |
| Predicate | travelsWith |
P881
|
FINISHED |
| Object | Stacy (The Ruins) |
E274264
|
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: Stacy (The Ruins) | Statement: [Jeff (The Ruins), travelsWith, Stacy (The Ruins)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacy (The Ruins) Context triple: [Jeff (The Ruins), travelsWith, Stacy (The Ruins)]
-
A.
Stacy
chosen
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
-
B.
Stacy
Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
-
C.
Dolores
Dolores is a fictional character from the 1927 silent film "The Dove," likely serving as one of the central figures in its romantic drama narrative.
-
D.
Dolores
Dolores is a historic town in Guanajuato, Mexico, best known as the place where Miguel Hidalgo launched the Mexican War of Independence with the Grito de Dolores in 1810.
-
E.
Dolores
Dolores is the middle name of Lily Dolores Harris, used as part of her full personal name.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999bba548190a39adc2d0e11c605 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.