Triple
T17686144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodies |
E440892
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Patrick Baladi |
—
|
NE NERFINISHED |
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: Patrick Baladi | Statement: [Bodies, starring, Patrick Baladi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Baladi Context triple: [Bodies, starring, Patrick Baladi]
-
A.
Patrick Baladi
chosen
Patrick Baladi is a British actor best known for his television roles in series such as The Office (UK), Mistresses, and Line of Duty.
-
B.
Anthony Pelissier
Anthony Pelissier was a British actor, screenwriter, and film director known for his work in mid-20th-century British cinema, including contributions to Ealing Studios.
-
C.
Pierre Azaria
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
-
D.
Antoine Nahas
Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
-
E.
Michel Elie
Michel Elie is a French computer scientist known for his pioneering role in the development of early packet-switching networks, notably through his work on the CYCLADES project.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:02 a.m.