Triple
T14938862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Me |
E372467
|
entity |
| Predicate | originalBroadwayStar |
P4737
|
FINISHED |
| Object | Daniel Massey |
E695678
|
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: Daniel Massey | Statement: [She Loves Me, originalBroadwayStar, Daniel Massey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Massey Context triple: [She Loves Me, originalBroadwayStar, Daniel Massey]
-
A.
Daniel Massey
chosen
Daniel Massey was a British actor known for his work in film, television, and theatre, and for being part of the prominent Massey acting family.
-
B.
James Massey
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
-
C.
Geoffrey Sax
Geoffrey Sax is a British film and television director known for his work on dramas and genre series, including projects like the U.S. adaptation of "Getting On."
-
D.
Martin Lancaster
Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
-
E.
Don Fletcher
Don Fletcher is a writer best known for his work on the song "Dancing Machine."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968d71dc81909b76551f9cd9ebab |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:38 a.m.