Triple
T8980640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Neeson |
E214514
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Daniel Neeson |
E214514
|
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 Neeson | Statement: [Liam Neeson, child, Daniel Neeson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Neeson Context triple: [Liam Neeson, child, Daniel Neeson]
-
A.
Daniel Neeson
chosen
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Ian Donnelly
Ian Donnelly is a theoretical physicist and linguist who serves as one of the central human protagonists in the science fiction film "Arrival," working alongside Louise Banks to communicate with extraterrestrial visitors.
-
D.
Simon O’Connor
Simon O’Connor is a musician known for his role in the American indie rock band Modest Mouse.
-
E.
Daniel McCreanor
Daniel McCreanor was one of the civilians killed in the 1994 Loughinisland massacre in County Down, Northern Ireland, when loyalist gunmen opened fire in a village pub during a World Cup football match.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a615b081909b88e761be879802 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f35010e481909efa384a314b6a45 |
completed | April 4, 2026, 11:17 a.m. |
Created at: March 30, 2026, 7:03 p.m.