Triple
T1714619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Tower series |
E37261
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | It |
E37260
|
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: It | Statement: [The Dark Tower series, connectedTo, It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Context triple: [The Dark Tower series, connectedTo, It]
-
A.
It
chosen
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
B.
If
"If" is a 1993 Janet Jackson song known for its fusion of R&B, rock, and industrial sounds, sexually assertive lyrics, and innovative, high-energy choreography in its music video.
-
C.
i
i is the imaginary unit, a complex number satisfying i² = −1 and serving as a fundamental building block in complex number systems such as the Gaussian integers.
-
D.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
E.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa633349248190822e560fde817fc7 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae10a048190b7a39e4fb4fbe224 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.