Triple
T10431833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsan Shire |
E245932
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Warsan |
E245932
|
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: Warsan | Statement: [Warsan Shire, givenName, Warsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warsan Context triple: [Warsan Shire, givenName, Warsan]
-
A.
Warsan Shire
chosen
Warsan Shire is a Somali-British poet and writer known for her powerful explorations of identity, migration, and womanhood, whose work gained wide recognition through its prominent use in Beyoncé’s visual album "Lemonade."
-
B.
Fady Joudah
Fady Joudah is a Palestinian-American poet and physician known for his acclaimed poetry collections and translations, including work that has earned major literary awards.
-
C.
Morgan Parker
Morgan Parker is an American poet and writer known for her incisive, culturally engaged work exploring Black womanhood, pop culture, and identity.
-
D.
Monica Youn
Monica Youn is an American poet and former lawyer known for her formally inventive, politically engaged collections such as "Ignatz" and "Blackacre."
-
E.
Laila Nabulsi
Laila Nabulsi is a film producer best known for producing the cult classic adaptation of Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea63f03c81908331655241102725 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f98a2a0819093e029d940c59508 |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:13 p.m.