Triple
T15446766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beckett on Film: Endgame |
E370042
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object | Nagg |
E501001
|
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: Nagg | Statement: [Beckett on Film: Endgame, hasRole, Nagg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagg Context triple: [Beckett on Film: Endgame, hasRole, Nagg]
-
A.
Nagg
chosen
Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
-
B.
Gurgi
Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
-
C.
Throsk
Throsk is a small village in central Scotland situated on the River Forth within the Stirling council area.
-
D.
Gally
Gally is the nickname of Galahad Threepwood, a roguish and charming member of the eccentric Blandings Castle family in P. G. Wodehouse’s comic novels.
-
E.
Gally
Gally is a powerful cyborg warrior and amnesiac bounty hunter who serves as the central character in the cyberpunk manga series Gunnm (Battle Angel Alita).
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21adb6b88190b573068bda223892 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.