Triple
T3228522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Lansbury |
E67681
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Brigid |
E283574
|
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: Brigid | Statement: [Angela Lansbury, middleName, Brigid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brigid Context triple: [Angela Lansbury, middleName, Brigid]
-
A.
Boann
Boann is a goddess in Irish mythology associated with the River Boyne, often linked to inspiration, knowledge, and the Otherworld.
-
B.
Brigid of Kildare
chosen
Brigid of Kildare is a 5th–6th century Irish saint and abbess, venerated as one of Ireland’s patron saints and renowned for founding monasteries and her association with learning, charity, and healing.
-
C.
Ó Cuinn
Ó Cuinn is an Irish Gaelic surname that is the original form of the anglicized name Quinn.
-
D.
Brigid Berlin
Brigid Berlin was an American artist, Warhol superstar, and underground film actress known for her raw, confessional work and prominent role in Andy Warhol’s Factory scene.
-
E.
Freyja
Freyja is a major Norse goddess associated with love, beauty, fertility, magic, and war, often depicted as a powerful and independent figure who rides a chariot drawn by cats.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262675b588190bcff98e7fa3a0c77 |
completed | March 12, 2026, 6:51 a.m. |
Created at: March 8, 2026, 3:08 p.m.