Triple
T19100815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F'nor |
E467524
|
entity |
| Predicate | fightsAgainst |
P4567
|
FINISHED |
| Object | Thread |
—
|
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: Thread | Statement: [F'nor, fightsAgainst, Thread]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thread Context triple: [F'nor, fightsAgainst, Thread]
-
A.
Thread
Thread is a low-power, IPv6-based wireless mesh networking protocol designed primarily for secure and reliable communication among smart home and IoT devices.
-
B.
Thread
chosen
Thread is a deadly, space-borne organism in Anne McCaffrey’s Dragonriders of Pern series that periodically falls from the sky to devour all organic matter on the planet.
-
C.
Threads
Threads is a social media app by Meta designed for real-time text-based conversations and sharing among users, closely integrated with Instagram.
-
D.
Threads
Threads is a collaborative studio album by American singer-songwriter Sheryl Crow, featuring a wide range of guest artists across rock, country, and pop.
-
E.
Threads
Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36de7bc8190b353ed59e12e4631 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.