Triple
T3519386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Pope |
E74381
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Legend |
E198720
|
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: Legend | Statement: [Dick Pope, notableWork, Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legend Context triple: [Dick Pope, notableWork, Legend]
-
A.
Legend
Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
-
B.
Legend
chosen
Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
-
C.
Legend
Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
-
D.
Chronicles
Chronicles is a biblical historical book that recounts and interprets the history of Israel and Judah, focusing on their kings, temple worship, and covenant relationship with God.
-
E.
Tales
Tales is a collection of short stories by Amiri Baraka that reflects his politically charged, experimental, and African American–centered literary style.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc49dea88190924c8abd29aabdad |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e848d1c8190b100cb2e1218afbb |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.