Triple
T15628376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Let Me Go (screenplay) |
E375743
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Tommy |
E67600
|
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: Tommy | Statement: [Never Let Me Go (screenplay), mainCharacter, Tommy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Context triple: [Never Let Me Go (screenplay), mainCharacter, Tommy]
-
A.
Tommy
chosen
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
-
B.
Tommy
Tommy is a landmark 1969 rock opera album by the British band The Who, telling the story of a "deaf, dumb, and blind" boy and widely regarded as one of the most influential concept albums in rock history.
-
C.
Tommy
Tommy is a colloquial nickname for Thomson's gazelle, a small, fast antelope native to the grasslands of East Africa.
-
D.
Tommy
"Tommy" is a famous poem by Rudyard Kipling that explores the contrasting ways British society treats soldiers in peacetime versus wartime.
-
E.
Tommy Tar
Tommy Tar is the official mascot character representing the Tars athletic teams.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb4301881908c7157227fdf79b6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f43191c81908c5704314a002608 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.